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Which administrative management system is used to evaluate the validity and performance of other data and systems?

A.

Human-resources information systems

B.

Clinical decision support system

C.

Registration and scheduling system

D.

Quality assurance system

Answer and Explanation

The Correct Answer is D

A. Human-resources information systems. – This system focuses on employee management and does not specifically evaluate data validity or performance across other systems.

 

B. Clinical decision support system. – This system aids in clinical decision-making by providing evidence-based recommendations but does not evaluate the overall performance of data and systems.

 

C. Registration and scheduling system. – This system is primarily for managing patient appointments and does not assess the validity or performance of other systems.

 

D. Quality assurance system. – This system is dedicated to evaluating and ensuring the quality and performance of healthcare services and data, making it the appropriate choice.


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View Related questions

Correct Answer is B

Explanation

A. By utilizing its hospital Wi-Fi. – While hospital Wi-Fi is generally secure, relying solely on it does not guarantee protection from potential security risks.

B. By utilizing public Wi-Fi that is encrypted and enabling a VPN. – This option provides an extra layer of security by encrypting the data and protecting the patient’s information from unauthorized access while using public networks.

C. By utilizing public Wi-Fi and using a browser capable of blocking cookies. – Blocking cookies does not significantly enhance security for accessing sensitive health information and can hinder the functionality of some websites.

D. By utilizing public Wi-Fi that is encrypted. – While this provides some security, it is better to use a VPN alongside encrypted public Wi-Fi for enhanced protection against potential threats.

Correct Answer is A

Explanation

A. By evaluating technology and filling data gaps. – Nurses can contribute by identifying gaps in data that machine learning models need to improve accuracy, and by assessing technology to ensure it meets clinical needs and complements patient care.

B. By simply accessing and using information. – Access alone does not contribute significantly to machine learning; active data input and gap identification are more effective.

C. By studying statistics to understand the algorithms. – Studying algorithms helps understand machine learning but does not directly contribute to its function or data generation.

D. By gathering patient data. – While gathering data is helpful, without evaluating technology and addressing data gaps, it doesn’t fully contribute to machine learning model improvement.

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